Unknown

Dataset Information

0

Computation of Forster Resonance Energy Transfer in Lipid Bilayer Membranes.


ABSTRACT: Calculations of Förster Resonance Energy Transfer (FRET) often neglect the influence of different chromophore orientations or changes in the spectral overlap. In this work, we present two computational approaches to estimate the energy transfer rate between chromophores embedded in lipid bilayer membranes. In the first approach, we assess the transition dipole moments and the spectral overlap by means of quantum chemical calculations in implicit solvation, and we investigate the alignment and distance between the chromophores in classical molecular dynamics simulations. In the second, all properties are evaluated integrally with hybrid quantum mechanical/molecular mechanics (QM/MM) calculations. Both approaches come with advantages and drawbacks, and despite the fact that they do not agree quantitatively, they provide complementary insights on the different factors that influence the FRET rate. We hope that these models can be used as a basis to optimize energy transfers in nonisotropic media.

SUBMITTER: Jacobi R 

PROVIDER: S-EPMC9639162 | biostudies-literature | 2022 Nov

REPOSITORIES: biostudies-literature

altmetric image

Publications

Computation of Förster Resonance Energy Transfer in Lipid Bilayer Membranes.

Jacobi Richard R   Hernández-Castillo David D   Sinambela Novitasari N   Bösking Julian J   Pannwitz Andrea A   González Leticia L  

The journal of physical chemistry. A 20221019 43


Calculations of Förster Resonance Energy Transfer (FRET) often neglect the influence of different chromophore orientations or changes in the spectral overlap. In this work, we present two computational approaches to estimate the energy transfer rate between chromophores embedded in lipid bilayer membranes. In the first approach, we assess the transition dipole moments and the spectral overlap by means of quantum chemical calculations in implicit solvation, and we investigate the alignment and di  ...[more]

Similar Datasets

| S-EPMC10988607 | biostudies-literature
| S-EPMC8023573 | biostudies-literature
| S-EPMC6441672 | biostudies-literature
| S-EPMC8958797 | biostudies-literature
| S-EPMC11457519 | biostudies-literature
| S-EPMC2600711 | biostudies-literature
| S-EPMC10641858 | biostudies-literature
| S-EPMC7992049 | biostudies-literature
| S-EPMC3253952 | biostudies-literature
| S-EPMC9377335 | biostudies-literature